Standardizing effect size from linear regression models with log-transformed variables for meta-analysis

BACKGROUND: Meta-analysis is very useful to summarize the effect of a treatment or a risk factor for a given disease. Often studies report results based on log-transformed variables in order to achieve the principal assumptions of a linear regression model. If this is the case for some, but not all...

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Detalles Bibliográficos
Autores principales: Rodríguez-Barranco, Miguel, Tobías, Aurelio, Redondo, Daniel, Molina-Portillo, Elena, Sánchez, María José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356327/
https://www.ncbi.nlm.nih.gov/pubmed/28302052
http://dx.doi.org/10.1186/s12874-017-0322-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356327/
https://www.ncbi.nlm.nih.gov/pubmed/28302052
http://dx.doi.org/10.1186/s12874-017-0322-8

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